Abstract
The development and experimental verification of an IoT system for environmental parameter monitoring are presented. The system consists of three levels: data collection using various sensors, wireless data transmission via the built-in Wi-Fi module of the Raspberry Pi and a 4G USB modem, and data storage on the Google Cloud server. The system's architecture enables efficient collection of information on temperature, humidity, atmospheric pressure, solar radiation, and cloud cover. The collected data is visualized using Python software and utilized for weather condition analysis. The developed system has demonstrated reliability and accuracy in operation, showcasing its potential for applications in meteorological research and forecasting based on artificial intelligence.